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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Mistral 7B Instruct v0.2/on NVIDIA H200 PCIe 141GB

Can it run?

Can NVIDIA H200 PCIe 141GB run Mistral 7B Instruct v0.2?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

944.3 tok/s

TTFT

350 ms

Safe context

109K

Memory

20.7 GB / 141.0 GB

Memory breakdown

Weights4.3 GB
KV Cache1.1 GB
Runtime1.2 GB
Headroom14.1 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well944.3 tok/s350 ms207K
ChatCRuns well944.3 tok/s350 ms55K
CodingCRuns well944.3 tok/s350 ms109K
RAGCRuns well944.3 tok/s373 ms207K
ReasoningCRuns well944.3 tok/s350 ms109K

Quantization options

How Mistral 7B Instruct v0.2 (7B params) fits at each quantization level on NVIDIA H200 PCIe 141GB (141.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowD30
Q3_K_S
3
3.4 GB
LowD30
NVFP4
4
3.9 GB
MediumD30
Q4_K_M
4
4.3 GB
MediumD30
Q5_K_M
5
5.0 GB
HighD30
Q6_K
6
5.7 GB
HighD30
Q8_0
8
7.5 GB
Very HighD31
F16Best for your GPU
16
14.3 GB
MaximumD32

Get started

Upgrade options

Hardware that runs Mistral 7B Instruct v0.2 well

AppleMac Studio M3 Ultra 256GBBudget pick
C130.4 tok/s decode

 

See all results for NVIDIA H200 PCIe 141GBSee all hardware for Mistral 7B Instruct v0.2